逆向工程中点云孔洞修补技术研究

王春香; 孟宏; 张勇; 张文敬

doi:10.13433/j.cnki.1003-8728.2018.0512

逆向工程中点云孔洞修补技术研究

doi: 10.13433/j.cnki.1003-8728.2018.0512

1.
内蒙古科技大学机械学院, 内蒙古包头 014010

基金项目:

内蒙古自治区高等学校科学研究项目（NJZY16167）与内蒙古自治区自然科学基金项目（2017MS（LH）0530）资助

详细信息

作者简介:
王春香(1962-),教授,硕士生导师,研究方向为逆向工程技术、快速成型技术,wcxcxw@126.com

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- 文章访问数: 167
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- 被引次数: 0
出版历程
- 收稿日期: 2017-03-11
- 刊出日期: 2018-05-05

Exploring a Hole Filling Technique in Reverse Engineering Domain

1.
Department of Mechanical Engineering, Inner Mongolia University of Science & Technology, Inner Mongolia Baotou 014010, China

摘要

摘要: 对于散乱点云模型上的大面积、跨面孔洞，逆向软件往往难以修补。为了提高孔洞修补精度、获得完整的点云模型，提出了对手受惩罚竞争学习算法（Rival penalized competitive learning，RPCL）和模糊C均值聚类算法（Fuzzy C-means，FCM）相结合的综合改进径向基函数神经网络（RBF）算法，建立了基于改进算法的点云孔洞修补模型，并以挖掘机斗齿和汽车模型为研究对象，利用RPCL-FCM-RBF联合算法对不同特征的点云孔洞进行了修补研究。结果表明，该算法在很大程度上提高了点云孔洞的修补精度，其补洞效果远优于逆向软件。而且，较之传统的RBF神经网络，该方法所建模型具有更高的预测精度、能够有效地调整洞口缺失数据、实现点云孔洞的精确修复，实用性强。
- 径向基函数神经网络(RBF) /
- 对手受惩罚竞争学习算法(RPCL) /
- 模糊C均值聚类算法(FCM) /
- 孔洞修补 /
- MATLAB
Abstract: For large holes with significant curvature change in scattered point clouds, the reverse engineering software usually has failure. In order to build up a complete point cloud model with a higher accuracy of hole repairing, an improved radial basis function (RBF) networks algorithm was exploited, where the rival penalized competitive learning (RPCL) algorithm was combined with the fuzzy clustering means (FCM) to perfect the traditional RBF networks, and the hybrid RPCL-FCM-RBF algorithm was then examined by applying it to two different scattered point clouds from scanned objects:a bucket of an excavator and a car. The experimental results indicate that the suggested method shows better hole-filling performance than the software and that the proposed algorithm has a superior prediction capability compared with the conventional RBF algorithm. The favorable fidelity and efficiency make it a promising candidate for many practical applications.
- radial basis function networks (RBF) /
- rival penalized competitive learning (RPCL) /
- clustering algorithms /
- hole filling /
- MATLAB

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参考文献(20)

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